1 citations · 1 across the 5 of their papers we have counts for
5 papers
PDSL: Propagation Dynamics Aware Framework for Source Localization
Yansong Wang, Qisen Chai, Longlong Lin +1
Source localization is a representative inverse inference task in information propagation, aiming to identify the source node or node set that triggers the propagation results base…
NCSAC: Effective Neural Community Search via Attribute-augmented Conductance
Longlong Lin, Quanao Li, Miao Qiao +5
Identifying locally dense communities closely connected to the user-initiated query node is crucial for a wide range of applications. Existing approaches either solely depend on ru…
Effective and Efficient Conductance-based Community Search at Billion Scale
Longlong Lin, Yue He, Wei Chen +3
Community search is a widely studied semi-supervised graph clustering problem, retrieving a high-quality connected subgraph containing the user-specified query vertex. However, exi…
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding
Longlong Lin, Yunfeng Yu, Zihao Wang +4
Network embedding has numerous practical applications and has received extensive attention in graph learning, which aims at mapping vertices into a low-dimensional and continuous d…
PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering
Longlong Lin, Tao Jia, Zeli Wang +2
Higher-order graph clustering aims to partition the graph using frequently occurring subgraphs. Motif conductance is one of the most promising higher-order graph clustering models…